Methods and Feature Enhancements for Industry Use of EMRALD, INL/RPT-23-74447 | 280068 | | EMRALD is a dynamic PRA tool developed by the Idaho National Laboratory. It is an open-source tool that has been used for many research projects along with more recent academic and industry projects. To expand for more industry use and analysis, a strong validation framework and test cases needed to be developed. Also, additional features needed to be added to enable some scenarios and ease of use. This report goes over the initial validation framework setup and testcase as well as the software modification from this project. Initially, this project was going to include implementing methods for coupling with classical PRA tools. However, earlier research concluded that coupling methods would only be mathematically valid for limited scenarios, so work was pivoted to other areas of improving industry use. | EMRALD is a dynamic PRA tool developed by the Idaho National Laboratory. It is an open-source tool that has been used for many research projects along with more recent academic and industry projects. To expand for more industry use and analysis, a strong validation framework and test cases needed to be developed. Also, additional features needed to be added to enable some scenarios and ease of use. This report goes over the initial validation framework setup and testcase as well as the software modification from this project. Initially, this project was going to include implementing methods for coupling with classical PRA tools. However, earlier research concluded that coupling methods would only be mathematically valid for limited scenarios, so work was pivoted to other areas of improving industry use. | | 9/6/2023 10:17:45 PM | U.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government It is an open-source tool that | 110 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |
Dynamic and Classical PRA Coupling using EMRALD and SAPHIRE, INL/RPT-22-70424 | 274548 | | Both classical and dynamic probabilistic risk assessment tools are valuable for different kinds of analysis. Typically, one or the other is used depending on the scenario and the limitations of the tool. Often, the results of one are used as a parameter in the other. This research looks at the possible methods for combining classical and dynamic analyses by coupling EMRALD and SAPHIRE. This was initial exploratory research to evaluate methods and determine how the tools could be coupled. A short background of SAPHIRE and its solving methods is provided, along with information on EMRALD to help understand the correlation between the two types of modeling. | Both classical and dynamic probabilistic risk assessment tools are valuable for different kinds of analysis. Typically, one or the other is used depending on the scenario and the limitations of the tool. Often, the results of one are used as a parameter in the other. This research looks at the possible methods for combining classical and dynamic analyses by coupling EMRALD and SAPHIRE. This was initial exploratory research to evaluate methods and determine how the tools could be coupled. A short background of SAPHIRE and its solving methods is provided, along with information on EMRALD to help understand the correlation between the two types of modeling. | | 12/15/2022 11:38:54 PM | INL/RPT-22-70424 Revision 0 Light Water Reactor Sustainability Program Dynamic and Classical PRA Coupling using EMRALD and SAPHIRE December 2022 U.S. Department of Energy Office | 149 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |
Integration of Physical Security Simulation Software Applications in a Dynamic Risk Framework, INL/EXT-21-64333 | 221385 | | Integration of Physical Security Simulation Software Applications in a Dynamic Risk Framework, INL/EXT-21-64333 | Integration of Physical Security Simulation Software Applications in a Dynamic Risk Framework, INL/EXT-21-64333 | | 9/8/2021 5:20:28 PM | INL/EXT-21-64333 Revision 0 Light Water Reactor Sustainability Program Integration of Physical Security Simulation Software Applications in a Dynamic Risk Framework August 2021 | 186 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |
Methodology and Application of Physical Security Effectiveness Based on Dynamic Force-on-Force Modeling, INL/EXT-20-59891 | 221259 | | Methodology and Application of Physical Security Effectiveness Based on Dynamic Force-on-Force Modeling, INL/EXT-20-59891 | Methodology and Application of Physical Security Effectiveness Based on Dynamic Force-on-Force Modeling, INL/EXT-20-59891 | | 9/30/2020 9:58:38 PM | INL/EXT-20-59891 Light Water Reactor Sustainability Program Methodology and Application of Physical Security Effectiveness Based on Dynamic Force-on-Force Modeling September 2020 | 122 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |
Integration of FLEX Equipment and Operator Actions in Plant Force-On-Force Models with Dynamic Risk Assessment, INL/EXT-20-59510 | 221382 | | Integration of FLEX Equipment and Operator Actions in Plant Force-On-Force Models with Dynamic Risk Assessment, INL/EXT-20-59510 | Integration of FLEX Equipment and Operator Actions in Plant Force-On-Force Models with Dynamic Risk Assessment, INL/EXT-20-59510 | | 8/27/2020 1:15:47 AM | U.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government Labor costs continue to rise in | 191 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |
Status of Adaptive Surrogates within the RAVEN Framework, INL/EXT-17-43438 | 269299 | | The RAVEN code has been under development at the Idaho National Laboratory since 2012. Its main goal is to create a multi-purpose platform for the deploying of all the capabilities needed for Probabilistic Risk Assessment, uncertainty quantification, data mining analysis and optimization studies. | The RAVEN code has been under development at the Idaho National Laboratory since 2012. Its main goal is to create a multi-purpose platform for the deploying of all the capabilities needed for Probabilistic Risk Assessment, uncertainty quantification, data mining analysis and optimization studies. | | 11/6/2017 9:29:14 PM | INL/EXT-17-43438 Light Water Reactor Sustainability Program Status of Adaptive Surrogates within the RAVEN framework Andrea Alfonsi, Congjian Wang, Joshua Cogliati, Diego | 64 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |
A Simulation Based Dynamic Analysis Approach for Modeling Total Plant Response to Flooding Events, INL/EXT-17-40928 | 221400 | | A Simulation-Based Dynamic Analysis Approach for Modeling Total Plant Response to Flooding Events, RIL 2022-03 INL/EXT-17 40928 | A Simulation-Based Dynamic Analysis Approach for Modeling Total Plant Response to Flooding Events, RIL 2022-03 INL/EXT-17 40928 | | 4/29/2022 4:04:31 PM | Research Information Letter Office of Nuclear Regulatory Research This report was prepared as Idaho National Laboratory Report | 101 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |
System Reliability Analysis Capability and Surrogate Model Application in RAVEN, INL/EXT-16-37243 | 269300 | | This report describes the effort performed to improve the analysis capabilities of the RAVEN code. These efforts include improving the reliability (or “limit”) surface search of the RAVEN code and exploring new opportunities in usage of surrogate models by extending the current RAVEN capabilities to multi-physics surrogate models construction for high-dimensionality problems. | This report describes the effort performed to improve the analysis capabilities of the RAVEN code. These efforts include improving the reliability (or “limit”) surface search of the RAVEN code and exploring new opportunities in usage of surrogate models by extending the current RAVEN capabilities to multi-physics surrogate models construction for high-dimensionality problems. | | 7/27/2017 8:30:18 PM | INL/EXT-16-37243 Light Water Reactor Sustainability Program System Reliability Analysis Capability and Surrogate Model Application in RAVEN Cristian Rabiti, Andrea Alfonsi | 85 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |
Advanced probabilistic risk analysis using RAVEN and RELAP-7, INL/EXT-14-32491 | 269302 | | Advanced probabilistic risk analysis using RAVEN and RELAP-7, INL/EXT-14-32491 | Advanced probabilistic risk analysis using RAVEN and RELAP-7, INL/EXT-14-32491 | | 8/17/2015 8:43:08 PM | 7KH,1/LVD86'HSDUWPHQWRI(QHUJ\1DWLRQDO/DERUDWRU\ RSHUDWHGE\%DWWHOOH(QHUJ\$OOLDQFH ,1/(;7 Advanced Probabilistic Risk Analysis Using RAVEN and RELAP-7 | 93 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |
Support and Modeling for the Boiling Water Reactor Station Black Out Case Study Using RELAP and RAVEN, INL/EXT-13-30203 | 269303 | | The existing fleet of nuclear power plants is in the process of extending its lifetime and increasing the power generated from these plants via power uprates. In order to evaluate the impact of these two factors on the safety of the plant, the RISMC project aims to provide insight to decision-makers through a series of simulations of the plant dynamics for different initial conditions. | The existing fleet of nuclear power plants is in the process of extending its lifetime and increasing the power generated from these plants via power uprates. In order to evaluate the impact of these two factors on the safety of the plant, the RISMC project aims to provide insight to decision-makers through a series of simulations of the plant dynamics for different initial conditions. | | 12/20/2013 4:26:24 PM | The INL is a U.S. Department of Energy National Laboratory operated by Battelle Energy Alliance INL/EXT-13-30203 Light Water Reactor Sustainability Program Support and Modeling | 108 | https://lwrs.inl.gov/RiskInformed Safety Margin Characterization/Forms/AllItems.aspx | pdf | False | pdf | | |